Mama's Creations (MAMA) Operating Expenses (2010 - 2026)
Mama's Creations' Operating Expenses came in at $10.09 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 42.6% from $7.07 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Mama's Creations (MAMA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Mama's Creations reported Operating Expenses of $41.11 million, up 44.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $35.93 million, up 40.1% from FY2025.
- Operating Expenses has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 31.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $25.66 million in FY2025 (+19.6%), $21.44 million in FY2024 (+29.2%), $16.6 million in FY2023 (+41.0%) and $11.77 million in FY2022 (+27.1%).
- The five-year range for quarterly Operating Expenses is $2.64 million (fiscal Q3 2022) to $10.94 million (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for 23 consecutive quarters, with growth averaging 32.8% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.7% (fiscal Q2 2025) and 91.5% (fiscal Q3 2023) over the last five years.
- Business Quant data shows MAMA's Operating Expenses at $9.76 million (Q1 2027), $10.94 million (Q4 2026) and $10.31 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Mama's Creations | 619.96 Mn | 418.91 Mn | 13.08 Mn | 10.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.09 Mn |
| Apr 30, 2026 | 9.76 Mn |
| Jan 31, 2026 | 10.94 Mn |
| Oct 31, 2025 | 10.31 Mn |
| Jul 31, 2025 | 7.07 Mn |
| Apr 30, 2025 | 7.61 Mn |
| Jan 31, 2025 | 7.15 Mn |
| Oct 31, 2024 | 6.55 Mn |
| Jul 31, 2024 | 5.27 Mn |
| Apr 30, 2024 | 6.69 Mn |
| Jan 31, 2024 | 5.86 Mn |
| Oct 31, 2023 | 5.93 Mn |
| Jul 31, 2023 | 5.23 Mn |
| Apr 30, 2023 | 4.43 Mn |
| Jan 31, 2023 | 4.54 Mn |
| Oct 31, 2022 | 5.07 Mn |
| Jul 31, 2022 | 3.56 Mn |
| Apr 30, 2022 | 3.60 Mn |
| Jan 31, 2022 | 3.99 Mn |
| Oct 31, 2021 | 2.64 Mn |
API Access
Mama's Creations Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=MAMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MAMA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();